[1207]ImportError：无法导入名称“ RandomizedLogisticRegression”
self.tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased') self.input_size = 768 if args.model_name == 'bert': 这里的input-size,需要根据什么来确定值 所以是因为这个模型bert本来就应该是768,而不用根据具体的应用来选择这个值?self.tokenizer = AutoTokenizer.from_pretrained('bert-base-uncas...
import transformers.modeling_bert import BertOnlyMLMHead时,显示找不到对应模块。 不知道是不是由于transformers库版本更新之后,modeling_bert所在位置变换了,换成以下代码就解决了这个问题。 from transformers.models.bert.modeling_bert import BertOnlyMLMHead...
embedding = BertEmbeddings('bert-base-chinese') I find that BertEmbeddings('bert-base-chinese') has an error: Model name 'bert-base-chinese' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-ba...
key_bert_model = KeyBERT() File "/home/ubuntu/ml_env/lib/python3.8/site-packages/keybert/_model.py", line 49, in __init__ self.model = select_backend(model) File "/home/ubuntu/ml_env/lib/python3.8/site-packages/keybert/backend/_utils.py", line 43, in select_backend ...
In this paper, based on the actual diagnostic data on the regional health platform, a disease term map incorporating standard terms was constructed. Specifically, based on the rule algorithm based on the components of the disease, a data-enhanced BERT (bidirectional encoder representat...
https://gitee.com/mindspore/models/tree/master/official/nlp/Bert,复现这个项目,进行微调,运行run_classifier.py,总报错:cannot import name 'optimizer_cfg' from 'src.model_utils.config WIP #IACNT4 zhangyi01 创建于 2024-07-12 20:03 问题描述 https://gitee.com/mindspore/models/tree/master/...
raise_validation_error(f"model_id={model_id} not found", "model_id") if model_name: # load_models() の 処理内容が i の正当性を担保していることに注意 model_ids = [i for i, x in enumerate(model_holder.models_info) if x.name == model_name] if not model_ids: raise_validat...
lite pre-training models such as Albert-small or Electra-small with financial corpus, knowledge of distillation and multi-stage learning. The result is that we improve the recall rate of company names recognition task from 0.73 to 0.92 and get 4 times as fast as BERT-Bilstm-CRF model. ...